Pub. Date:
Springer London
Introduction to Video and Image Processing: Building Real Systems and Applications / Edition 1

Introduction to Video and Image Processing: Building Real Systems and Applications / Edition 1

by Thomas B. Moeslund


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This textbook presents the fundamental concepts and methods for understanding and working with images and video in an unique, easy-to-read style which ensures the material is accessible to a wide audience. Exploring more than just the basics of image processing, the text provides a specific focus on the practical design and implementation of real systems for processing video data. Features: includes more than 100 exercises, as well as C-code snippets of the key algorithms; covers topics on image acquisition, color images, point processing, neighborhood processing, morphology, BLOB analysis, segmentation in video, tracking, geometric transformation, and visual effects; requires only a minimal understanding of mathematics; presents two chapters dedicated to applications; provides a guide to defining suitable values for parameters in video and image processing systems, and to conversion between the RGB color representation and the HIS, HSV and YUV/YCbCr color representations.

Product Details

ISBN-13: 9781447125020
Publisher: Springer London
Publication date: 01/25/2012
Series: Undergraduate Topics in Computer Science
Edition description: 2012
Pages: 227
Product dimensions: 6.00(w) x 9.50(h) x 0.80(d)

About the Author

Dr. Thomas B. Moeslund is an Associate Professor and Head of the Visual Analysis of People Lab at Aalborg University, Denmark, with more than 10 years of experience of teaching image and video processing. He is also co-editor of the Springer title Visual Analysis of Humans: Looking at People.

Table of Contents


Image Acquisition

Color Images

Point Processing

Neighborhood Processing


BLOB Analysis

Segmentation in Video Data


Geometric Transformations

Visual Effects

Application Example: Edutainment Game

Application Example: Coin Sorting using a Robot

Bits, Bytes and Binary Numbers

Mathematical Definitions

Learning Parameters in Video and Image Processing Systems

Conversion Between RGB and HSI

Conversion Between RGB and HSV

Conversion Between RGB and YUV/YCbCr

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